From wfu at illinois.edu Sun May 1 21:21:50 2011 From: wfu at illinois.edu (Wai-Tat Fu) Date: Sun, 1 May 2011 20:21:50 -0500 Subject: [ACT-R-users] Post-Doc position available at the University of Illinois at Urbana-Champaign Message-ID: <34E43CE0-DD84-4C28-813E-54D7EB3E3C98@illinois.edu> Post-Doctoral Associate Position Available The Human Factors Program at the University of Illinois at Urbana- Champaign is seeking applications for a Post-Doctoral Associate in human factors, cognitive engineering, human-computer interaction, applied cognition and decision making, communication, cognitive and human performance modeling, human-automation interaction, and related areas. We are interested in wide variety of domains including health care and medicine, aviation (including NextGen), vehicular safety, information visualization, decision support, social computing, and others. We have extensive research facilities including high fidelity driving, flight and ATC simulators, virtual reality, etc. at the Beckman Institute?s Illinois Simulator Laboratory: (http://www.isl.uiuc.edu/Labs/Labs.htm). The associate will participate in Illinois? interdisciplinary program in Human Factors (http://www.humanfactors.illinois.edu) in collaboration with faculty in the Departments of Computer Science, Educational Psychology, Industrial & Systems Engineering, Psychology, Library and Information Science, Industrial Design, and the Beckman Institute. The position is based on a 12-month year with an annual salary of $40,000 for at least one year with a possible extension to 2 years given adequate performance. The appointment will begin August 16, 2011. Approximately 75% of the appointment will involve research in areas of mutual interest to the candidate and Program faculty (the appointment funding is not tied to an externally sponsored research project), while 25% will involve teaching an undergraduate introduction to human factors course (1 class per semester with TA support provided). Good spoken English ability is essential. To apply, please send a curriculum vita, a reprint or preprint, and two letters of recommendation to Prof. Alex Kirlik, Siebel Center for Computer Science, MC-258, 201 N. Goodwin Ave., Urbana, IL, 61801. To receive full consideration, applications should be received by June 1, 2011. Electronic submissions are encouraged to: kirlik at illinois.edu The University of Illinois at Urbana-Champaign is an Affirmative Action-Equal Opportunity employer. Wai-Tat Fu __________ Assistant Professor Department of Computer Science Human Factors and Beckman Institute University of Illinois at Urbana-Champaign Email: wfu at illinois.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From MANWAR at pitt.edu Fri May 6 14:01:35 2011 From: MANWAR at pitt.edu (Mohd Anwar) Date: Fri, 06 May 2011 14:01:35 -0400 Subject: [ACT-R-users] Deadline Extended: Issues and Challenges in Social Computing - WICSOC 2011 Message-ID: Please circulate it to your colleagues and students who might be interested in contributing to IEEE Workshop on Issues and challenges in Social Computing ? WICSOC 2011. ************************ CALL FOR PAPERS -- Workshop on Issues and Challenges in Social Computing - 2011 The workshop will be held in Las Vegas, USA, in conjunction with the 12th IEEE International Conference on Information Reuse and Integration 2011. The aim of this workshop is to exchange ideas, provide feedback to each other, and plan on collaboration to address issues and challenges in social computing. Accepted papers will be published as workshop papers in the **IEEE IRI conference proceedings**.The extended versions of the best papers from the workshop will be considered for ***International Journal of Social Network Analysis and Mining***. More information is available at the workshop web site: http://www.sis.pitt.edu/~iri2011/WICSOC2011/index.html Example topics, but not limited to, include: ? Reuse/integration of social information/social metadata ? Design, modeling, and simulation of social computing systems ? Enterprise social systems ? Social media and Government 2.0 (e-government) ? Mobile social software ? Social learning systems ? Social navigation systems ? Integration of structured/ unstructured/semi-structured social information ? Privacy, security, and trust issues in social computing systems ? Social information mining ? Social recommendation systems ? Social information management ? Information exchange across social systems ? Evaluation of social computing system =========================================== Submission: May 14 ******************************* Paper Submission Link for WICSOC 2011: https://www.easychair.org/conferences/?conf=wicsoc2011 *********************** Mohd Anwar, Ph.D. School of Information Sciences University of Pittsburgh From norbou.buchler at us.army.mil Mon May 9 07:44:16 2011 From: norbou.buchler at us.army.mil (Buchler, Norbou (Civ,ARL/HRED)) Date: Mon, 9 May 2011 07:44:16 -0400 Subject: [ACT-R-users] Army Research Lab - Post Doctoral Opportunities in the Human Dimension of Network Science (UNCLASSIFIED) Message-ID: <6832BA50E489F64289E3F8F9C9BB49560101A8EF@ARLABML03.DS.ARL.ARMY.MIL> Classification: UNCLASSIFIED Caveats: NONE Please circulate to colleagues and students who are interested in pursuing a post-doctoral fellowship ($75K stipend) with the Cognitive Sciences Branch of the Army Research Laboratory (ARL) in Network Science. ARL is located at Aberdeen Proving Ground, Maryland that is comprised of 73,000 acres of the upper Chesapeake region near the mouth of the Susquehanna River. APG is one of our nation's oldest primary research & development facilities (the world's first general purpose computer ENIAC was housed in 1947 at APG). More information about ARL's programs can be accessed at www.arl.army.mil. --------------------------------------------------------------------- Post Doctoral Opportunities in the Human Dimension of Network Science --------------------------------------------------------------------- Comparable to developments in academia, private industry, and the home and personal environments, the US military is building a network-centric force that will rely on networked communications to push information to Soldiers and from which they will pull information that they need. Advances in network science are required to support this capability and must draw from a host of disciplines comprising the cognitive and social sciences; computer science; and information science. The Army Research Laboratory's Human Research and Engineering Directorate is conducting a cross-disciplinary basic and applied research program to significantly advance the state-of-the-art in how networks influence and are influenced by human behavior in the context of military decision making. The research will contribute to the development of theory, methods, measures, models, and understanding of networked communications and the social-cognitive implications of those networks. This research will ultimately help guide the design of human-team-system interaction and feed future operational tools. Research environments range from computational modeling, to networked simulations in a laboratory environment, to field exercises. An applied human factors or cognitive systems engineering approach will be used. Among the analytic techniques to be employed are the newly emerging dynamic social network tools. Of benefit would be a knowledge of complexity theory, self-emergent networks as applied to network science, cognitive work analysis, cognitive task analysis, concept mapping, scale and questionnaire development, semi-structured interviews, and analytical skills. Key themes include portraying network information, and investigations into how to drive the information and communication in order to influence the network in real time to support the Soldier/decision maker. Thus, studies will look at the effects of technology on cognitive workload, team collaboration, organizational effectiveness, and decision making. Our goal is to better understand the interdependencies between the cognitive, social, information, and communication networks and ultimately to help align Soldier and system capabilities in real time to support decision making. Fellowships are offered through either the National Research Council or the Oak Ridge Associated Universities programs. For information on ARL's programs, visit http://www.arl.army.mil/ and click on Post Doctoral Research Programs in the left column. Network Science positions are available at Army Research Laboratory, Human Research & Engineering Directorate, Aberdeen Proving Ground, MD. Stipend is approximately $75K. Point of Contact for Network Science Fellowships: Don Headley, Ph.D. Branch Chief - Cognitive Sciences dheadley at arl.army.mil 410-278-5919 dheadley at arl.army.mil; 410-278-5919 Classification: UNCLASSIFIED Caveats: NONE -------------- next part -------------- A non-text attachment was scrubbed... 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Name: smime.p7s Type: application/x-pkcs7-signature Size: 5210 bytes Desc: not available URL: From m.chan at ed.ac.uk Mon May 16 13:56:39 2011 From: m.chan at ed.ac.uk (Michael Chan) Date: Mon, 16 May 2011 18:56:39 +0100 Subject: [ACT-R-users] Call for Participation: IJCAI-11 Workshop on Discovering Meaning On the Go in Large & Heterogeneous Data (LHD-11) Message-ID: <4DD16557.4030104@ed.ac.uk> Apologies for cross-posting ------------------------------------------------------------------------------ Call for Participation for LHD-11 workshop at IJCAI-11, July 2011, Barcelona: Discovering Meaning On the Go in Large & Heterogeneous Data http://dream.inf.ed.ac.uk/events/lhd-11/ ------------------------------------------------------------------------------ An interdisciplinary approach is necessary to discover and match meaning dynamically in a world of increasingly large data. This workshop aims to bring together practitioners from academia, industry and government for interaction and discussion. The workshop will feature: * A panel discussion representing industrial and governmental input, entitled "Big Society meets Big Data: Industry and Government Applications of Mapping Meaning". Panel members will include: * Peter Mika (Yahoo!) * Representative of Google * Tom McCutcheon (Dstl) * Representative of ONR Global * An invited talk from Fausto Giunchglia, discussing the relationship between social computing and ontology matching; * Paper and poster presentations; * Workshop sponsored by: Yahoo! Research, W3C and others Workshop Description The problem of semantic alignment - that of two systems failing to understand one another when their representations are not identical - occurs in a huge variety of areas: Linked Data, database integration, e-science, multi-agent systems, information retrieval over structured data; anywhere, in fact, where semantics or a shared structure are necessary but centralised control over the schema of the data sources is undesirable or impractical. Yet this is increasingly a critical problem in the world of large scale data, particularly as more and more of this kind of data is available over the Web. In order to interact successfully in an open and heterogeneous environment, being able to dynamically and adaptively integrate large and heterogeneous data from the Web "on the go" is necessary. This may not be a precise process but a matter of finding a good enough integration to allow interaction to proceed successfully, even if a complete solution is impossible. Considerable success has already been achieved in the field of ontology matching and merging, but the application of these techniques - often developed for static environments - to the dynamic integration of large-scale data has not been well studied. Presenting the results of such dynamic integration to both end-users and database administrators - while providing quality assurance and provenance - is not yet a feature of many deployed systems. To make matters more difficult, on the Web there are massive amounts of information available online that could be integrated, but this information is often chaotically organised, stored in a wide variety of data-formats, and difficult to interpret. This area has been of interest in academia for some time, and is becoming increasingly important in industry and - thanks to open data efforts and other initiatives - to government as well. The aim of this workshop is to bring together practitioners from academia, industry and government who are involved in all aspects of this field: from those developing, curating and using Linked Data, to those focusing on matching and merging techniques. Topics of interest include, but are not limited to: * Integration of large and heterogeneous data * Machine-learning over structured data * Ontology evolution and dynamics * Ontology matching and alignment * Presentation of dynamically integrated data * Incentives and human computation over structured data and ontologies * Ranking and search over structured and semi-structured data * Quality assurance and data-cleansing * Vocabulary management in Linked Data * Schema and ontology versioning and provenance * Background knowledge in matching * Extensions to knowledge representation languages to better support change * Inconsistency and missing values in databases and ontologies * Dynamic knowledge construction and exploitation * Matching for dynamic applications (e.g., p2p, agents, streaming) * Case studies, software tools, use cases, applications * Open problems * Foundational issues Applications and evaluations on data-sources that are from the Web and Linked Data are particularly encouraged. Organising Committee: Fiona McNeill (University of Edinburgh) Harry Halpin (Yahoo! Research) Michael Chan (University of Edinburgh) Program committee: Marcelo Arenas (Pontificia Universidad Catolica de Chile) Krisztian Balog (University of Amsterdam) Paolo Besana (University of Edinburgh) Roi Blanco (Yahoo! Research) Paolo Bouquet (University of Trento) Ulf Brefeld (Yahoo! Research) Alan Bundy (University of Edinburgh) Ciro Cattuto (ISI Foundation) Vinay Chaudhri (SRI) James Cheney (University of Edinburgh) Oscar Corcho (Universidad Polit?cnica de Madrid) Shady Elbassuoni (Max-Planck-Institut f?r Informatik) Jerome Euzenat (INRIA Grenoble Rhone-Alpes) Eraldo Fernandes (Pontif?cia Universidade Cat?lica do Rio de Janeiro) Aldo Gangemi (CNR) Pat Hayes (IHMC) Pascal Hitzler (Wright State University) Ivan Herman (W3C) Tom McCutcheon (Dstl) Shuai Ma (Beihang University) Ashok Malhotra (Oracle) Martin Merry (Epimorphics) Daniel Miranker (University of Texas-Austin) Adam Pease (Articulate Software) Valentina Presutti (CNR) David Roberston (University of Edinburgh) Juan Sequeda (University of Texas-Austin) Pavel Shvaiko (Informatica Trentina) Jamie Taylor (Google) Eveylne Viegas (Microsoft Research) -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From reitter at cmu.edu Fri May 20 16:05:09 2011 From: reitter at cmu.edu (David Reitter) Date: Fri, 20 May 2011 16:05:09 -0400 Subject: [ACT-R-users] Call for Participation: Cognitive Modeling and Computational Linguistics at ACL2011 Message-ID: <80779441-7C6E-43B7-87C5-7B04B6518852@cmu.edu> The 2nd Workshop in Cognitive Modeling and Computational Linguistics (CMCL) A workshop to be held June 23, 2011 0850-1730hrs at the Association for Computational Linguistics meeting in Portland, Oregon http://www.psy.cmu.edu/~cmcl/ CALL FOR PARTICIPATION This workshop provides a venue for work in computational psycholinguistics. ACL Lifetime Achievement Award recipient Martin Kay described this topic as "build[ing] models of language that reflect in some interesting way, on the ways in which people use language." Following several successful related workshops, we have selected from a large number of submissions several outstanding contributions that apply methods from computational linguistics to problems in the cognitive modeling of any and all natural language abilities. Scope and Topics The workshop presents a broad spectrum of work in the cognitive science of language, at all levels of analysis from sounds to discourse. It emphasizes precise, computational and cognitively valid and empirically verified models. This year's topics include * cognitively plausible parsers, syntactic and morphological segmentation, * human language acquisition, including grammar induction, * models of adaptation and coordination in language production and comprehension in dialogue, * referring expression interpretation, * reading, * lexical semantics, and * linguistic variants of clinical relevance. Best Student Paper The best paper whose first author is a student will receive the Best Student Paper award, sponsored by the Cognitive Science Society. The award consists of USD 250 and a one-year membership to the Cognitive Science Society. Participation To participate in the workshop, register now at the ACL2011 site: http://www.aclweb.org/membership/acl2011reg.php Early registration runs until May 23, 2011. Workshop Chairs Frank Keller, School of Informatics, University of Edinburgh David Reitter, Department of Psychology, Carnegie Mellon University Program Committee Steven Abney, Michigan Matthew Crocker, Saarland Vera Demberg, Saarland Robert Daland, Northwestern Amit Dubey, Edinburgh Mike Frank, Stanford Ted Gibson, MIT John Hale, Cornell Keith Hall, Google Jeff Heinz, Delaware Florian Jaeger, Rochester Gaja Jarosz, Yale Roger Levy, San Diego Richard Lewis, Michigan Brian Murphy, Trento Stephan Oepen, Oslo Tim O???Donnell, Harvard Ulrike Pado, VICO Research Sebastian Pado, Heidelberg Amy Perfors, Adelaide Douglas Roland, Buffalo William Schuler, Ohio State Mark Steedman, Edinburgh Patrick Sturt, Edinburgh Shravan Vasishth, Potsdam From pavel at dit.unitn.it Mon May 23 16:47:14 2011 From: pavel at dit.unitn.it (Pavel Shvaiko) Date: Mon, 23 May 2011 22:47:14 +0200 Subject: [ACT-R-users] 1st CFP: ISWC'11 workshop on Ontology Matching (OM-2011) Message-ID: <7E959292B573448596F87DE6805C6063@ITN96946> Apologies for cross-postings -------------------------------------------------------------------------- 1st CALL FOR PAPERS -------------------------------------------------------------------------- The Sixth International Workshop on ONTOLOGY MATCHING (OM-2011) http://om2011.ontologymatching.org/ October 23 or 24, 2011, ISWC Workshop Program, Bonn, Germany BRIEF DESCRIPTION AND OBJECTIVES Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes the ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowledge and data expressed in the matched ontologies to interoperate. The workshop has three goals: 1. To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve. 2. To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2011 campaign: http://oaei.ontologymatching.org/2011/. The particular focus of this year's OAEI campaign is on real-world specific matching tasks involving, e.g., open linked data and biomedical ontologies. Therefore, the ontology matching evaluation initiative itself will provide a solid ground for discussion of how well the current approaches are meeting business needs. 3. To examine similarities and differences from database schema matching, which has received decades of attention but is just beginning to transition to mainstream tools. This year, in sync with the main conference, we encourage submissions specifically devoted to: (i) repeatable evaluations of the approaches proposed (not necessarily within OAEI) and (ii) application of the matching technology in real-life scenarios and assessment of its usefulness to the final users. TOPICS of interest include but are not limited to: Business and use cases for matching (e.g., open government data); Requirements to matching from specific domains; Application of matching techniques in real-world scenarios; Formal foundations and frameworks for matching; Matching patterns; Instance matching and data interlinking; Large-scale matching evaluation; Performance of matching techniques; Matcher selection and self-configuration; User involvement (including both technical and organizational aspects); Explanations in matching; Social and collaborative matching; Alignment management; Reasoning with alignments; Matching for traditional applications (e.g., information integration); Matching for dynamic applications (e.g., search, web-services). SUBMISSIONS Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2011 campaign. Technical papers should be not longer than 12 pages using the LNCS Style: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Posters/statements of interest should not exceed 2 pages and should be handled according to the guidelines for technical papers. All contributions should be prepared in PDF format and should be submitted through the workshop submission site at: http://www.easychair.org/conferences/?conf=om2011 Contributors to the OAEI 2011 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2011/. IMPORTANT DATES FOR TECHNICAL PAPERS AND POSTERS: August 15, 2011: Deadline for the submission of papers. September 12, 2011: Deadline for the notification of acceptance/rejection. September 26, 2011: Workshop camera ready copy submission. October 23 or 24, 2011: OM-2011, the Maritim convention center, Bonn, Germany ORGANIZING COMMITTEE 1. Pavel Shvaiko (Main contact) TasLab, Informatica Trentina SpA, Italy 2. J?r?me Euzenat INRIA & LIG, France 3. Tom Heath Talis Systems Ltd, UK 4. Christoph Quix RWTH Aachen University, Germany 5. Ming Mao SAP Labs, USA 6. Isabel Cruz The University of Illinois at Chicago, USA PROGRAM COMMITTEE Paolo Besana, University of Edinburgh, UK Chris Bizer, University of Berlin, Germany Olivier Bodenreider, National Library of Medicine, USA Paolo Bouquet, OKKAM, Italy Marco Combetto, Informatica Trentina, Italy J?r?me David, INRIA & LIG, France Alfio Ferrara, University of Milan, Italy Fausto Giunchiglia, University of Trento, Italy Bin He, IBM, USA Eduard Hovy, ISI, University of Southern California, USA Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Krzysztof Janowicz, Pennsylvania State University, USA Anja Jentzsch, FU-Berlin, Germany Yannis Kalfoglou, Ricoh Europe plc, UK Monika Lanzenberger, Vienna University of Technology, Austria Patrick Lambrix, Link?pings Universitet, Sweden Rob Lemmens, ITC, The Netherlands Maurizio Lenzerini, University of Rome La Sapienza, Italy Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK Christian Meilicke, University of Mannheim, Germany Peter Mork, The MITRE Corporation, USA Nico Lavarini, Cogito, Italy Andriy Nikolov, Open University, UK Natasha Noy, Stanford University, USA Leo Obrst, The MITRE Corporation, USA Matteo Palmonari, University of Milan Bicocca, Italy Yefei Peng, Google, USA Evan Sandhaus, New York Times, USA Luciano Serafini, Fondazione Bruno Kessler - IRST, Italy Kavitha Srinivas, IBM, USA Umberto Straccia, ISTI-C.N.R., Italy Ondrej Svab-Zamazal, Prague University of Economics, Czech Republic C?ssia Trojahn dos Santos, INRIA & LIG, France Raphael Troncy, EURECOM, France Giovanni Tummarello, Fondazione Bruno Kessler - IRST, Italy Lorenzino Vaccari, European Commission - Joint Research Center, Italy Ludger van Elst, DFKI, Germany Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands Baoshi Yan, LinkedIn, USA Songmao Zhang, Chinese Academy of Sciences, China ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ ------------------------------------------------------- Best Regards, Pavel ------------------------------------------------------- Pavel Shvaiko, PhD Innovation and Research Manager TasLab, Informatica Trentina SpA, Italy http://www.ontologymatching.org/ http://www.infotn.it/ http://www.dit.unitn.it/~pavel/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From felix.steffenhagen at gmx.de Mon May 30 09:17:24 2011 From: felix.steffenhagen at gmx.de (Felix Steffenhagen) Date: Mon, 30 May 2011 15:17:24 +0200 Subject: [ACT-R-users] Buffer Clearings and Declarative Memory Message-ID: <4DE398E4.5050001@gmx.de> Hello everybody, I'm a little confused about which buffer clearing trigger adding new chunks to declarative memory. In the ACT-R Tutorial Unit 2 Secion 2.6 (Learning new Chunks) it says: " ... whenever a chunk is cleared from a buffer it becomes part of the model's declarative memory." Does this principle only works for perceptual (input) buffers? In my ACT-R model (see attachment) I tried to retrieve a press-key chunk after pressing a key twice. When the model presses the key the second time, the manual buffer should be cleared and, if the principle works for this buffer, I should be able to retrieve this chunk. After running the model, there is no chunk in the DM except the ones that I defined. So, does this principle not work for the output buffers like the manual buffer? Regards, Felix -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: keyp.lisp URL: From db30 at andrew.cmu.edu Tue May 31 09:20:23 2011 From: db30 at andrew.cmu.edu (db30 at andrew.cmu.edu) Date: Tue, 31 May 2011 09:20:23 -0400 Subject: [ACT-R-users] Buffer Clearings and Declarative Memory In-Reply-To: <4DE398E4.5050001@gmx.de> References: <4DE398E4.5050001@gmx.de> Message-ID: --On Monday, May 30, 2011 3:17 PM +0200 Felix Steffenhagen wrote: > Hello everybody, > > I'm a little confused about which buffer clearing trigger adding new > chunks to declarative memory. In the ACT-R Tutorial Unit 2 Secion 2.6 > (Learning new Chunks) it says: > " ... whenever a chunk is cleared from a buffer it becomes part of the > model's declarative memory." > > Does this principle only works for perceptual (input) buffers? > > In my ACT-R model (see attachment) I tried to retrieve a press-key chunk > after pressing a key twice. When the model presses the key the second > time, the manual buffer should be cleared and, if the principle > works for this buffer, I should be able to retrieve this chunk. > > After running the model, there is no chunk in the DM except the ones > that I defined. So, does this principle not work for the output buffers > like the manual buffer? > The statement is true for every buffer. However, not every module will respond to a request by putting a chunk into its buffer. In the model you have for instance, the motor module does not create a chunk in response to the press-key request. Thus there is nothing to be added to declarative memory when the manual buffer is cleared. Hope that helps, and let me know if you have any other questions, Dan